---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ic-slurp
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wav2vec2-base-finetuned-ic-slurp

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1101
- Accuracy: 0.7393

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.0345        | 1.0   | 527   | 3.9813          | 0.0673   |
| 3.5622        | 2.0   | 1055  | 3.4634          | 0.1867   |
| 2.7737        | 3.0   | 1582  | 2.7252          | 0.3638   |
| 2.1285        | 4.0   | 2110  | 2.1754          | 0.4827   |
| 1.6216        | 5.0   | 2637  | 1.8169          | 0.5701   |
| 1.1786        | 6.0   | 3165  | 1.5773          | 0.6347   |
| 0.8747        | 7.0   | 3692  | 1.5024          | 0.6568   |
| 0.7565        | 8.0   | 4220  | 1.5020          | 0.6694   |
| 0.5236        | 9.0   | 4747  | 1.5287          | 0.6799   |
| 0.4517        | 10.0  | 5275  | 1.5165          | 0.6879   |
| 0.364         | 11.0  | 5802  | 1.5159          | 0.6949   |
| 0.3221        | 12.0  | 6330  | 1.5217          | 0.6996   |
| 0.227         | 13.0  | 6857  | 1.5718          | 0.7075   |
| 0.1828        | 14.0  | 7385  | 1.6979          | 0.6901   |
| 0.1691        | 15.0  | 7912  | 1.6162          | 0.7093   |
| 0.1642        | 16.0  | 8440  | 1.6973          | 0.7048   |
| 0.1254        | 17.0  | 8967  | 1.7060          | 0.7100   |
| 0.1578        | 18.0  | 9495  | 1.7328          | 0.7063   |
| 0.1509        | 19.0  | 10022 | 1.7658          | 0.7073   |
| 0.1409        | 20.0  | 10550 | 1.7770          | 0.7052   |
| 0.1085        | 21.0  | 11077 | 1.8033          | 0.7074   |
| 0.106         | 22.0  | 11605 | 1.7000          | 0.7149   |
| 0.0764        | 23.0  | 12132 | 1.7943          | 0.7104   |
| 0.0671        | 24.0  | 12660 | 1.8323          | 0.7155   |
| 0.0768        | 25.0  | 13187 | 1.8486          | 0.7146   |
| 0.0741        | 26.0  | 13715 | 1.8227          | 0.7187   |
| 0.0731        | 27.0  | 14242 | 1.7824          | 0.7230   |
| 0.0935        | 28.0  | 14770 | 1.8987          | 0.7164   |
| 0.0829        | 29.0  | 15297 | 1.8774          | 0.7202   |
| 0.0588        | 30.0  | 15825 | 1.8820          | 0.7211   |
| 0.059         | 31.0  | 16352 | 1.9535          | 0.7246   |
| 0.0431        | 32.0  | 16880 | 1.9621          | 0.7237   |
| 0.0324        | 33.0  | 17407 | 2.0160          | 0.7256   |
| 0.0447        | 34.0  | 17935 | 1.9392          | 0.7262   |
| 0.025         | 35.0  | 18462 | 2.0095          | 0.7284   |
| 0.0522        | 36.0  | 18990 | 1.9994          | 0.7244   |
| 0.0482        | 37.0  | 19517 | 2.0566          | 0.7262   |
| 0.0203        | 38.0  | 20045 | 2.0287          | 0.7295   |
| 0.0221        | 39.0  | 20572 | 2.0634          | 0.7300   |
| 0.0444        | 40.0  | 21100 | 2.0593          | 0.7302   |
| 0.0348        | 41.0  | 21627 | 2.0712          | 0.7298   |
| 0.0154        | 42.0  | 22155 | 2.0429          | 0.7351   |
| 0.024         | 43.0  | 22682 | 2.0708          | 0.7352   |
| 0.0157        | 44.0  | 23210 | 2.0701          | 0.7368   |
| 0.0222        | 45.0  | 23737 | 2.0963          | 0.7338   |
| 0.0126        | 46.0  | 24265 | 2.1329          | 0.7340   |
| 0.0211        | 47.0  | 24792 | 2.1230          | 0.7370   |
| 0.0288        | 48.0  | 25320 | 2.1101          | 0.7393   |
| 0.0347        | 49.0  | 25847 | 2.1201          | 0.7375   |
| 0.0162        | 49.95 | 26350 | 2.1197          | 0.7381   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2